Table 1 Multi-linear regression coefficients (Coeff), contribution in percentage of predictors (WS, WSC, RFI) (%) and percentage of UI variance explained by the predictors (R²), from first to third rows.

NBenCS				SBenCS			NCanCS			SCanCS			NCalCS			SCalCS			NHCS			SHCS
	Coeff	%	R²	Coeff	%	R²	Coeff	%	R²	Coeff	%	R²	Coeff	%	R²	Coeff	%	R²	Coeff	%	R²	Coeff	%	R²
WS	0.93	72.6	0.72	0.63	70.3	0.66	0.58	28.5	0.22	0.36	30.4	0.41	0.31	29.2	0.37	0.25	26.0	0.14	0.06	6.4	0.01	0.34	34.2	0.36
WSC	−0.18	14.5	0.43	0.09	11.0	0.31	0.30	20.2	0.06	0.15	11.8	0.14	−0.04	0.27	0.04	0.15	16.0	0.06	0.17	16.7	0.04	0.01	4.0	0.33
RFI	−0.16	12.8	0.24	0.17	18.8	0.35	−0.63	51.2	0.52	−0.69	57.8	0.73	−0.71	66.5	0.70	−0.57	58.1	0.37	−0.82	76.9	0.64	−0.62	61.8	0.65
UI_slw–U_Ia	0.94			0.78			0.91			0.88			0.94			0.95			0.87			0.79
UI_slw–-Trend	0.05*			0.05*			−0.04*			−0.04*			0.0004			0.01			−0.01			−0.01

Correlation between low frequency modulation of upwelling seasonal cycle (UI_slw) and long-term modulation of upwelling (e.g. annual mean, UI_a). Last row reported upwelling index UI_slw trends in [std/year]. Stars (*) indicate significant values.

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